Abstract: Methods and apparatus are provided in a diagnostic ultrasound system for generating and displaying strain rate spectrums corresponding to the deformation of a tissue structure within a subject, designated by a sample gate, in response to Doppler signals generated by the ultrasound system. Various combinations of several processing techniques are employed including spectral estimation processing such as discrete Fourier transform (DFT) processing, circular convolution, signal scaling/normalization, and complex autocorrelation.

Abstract: An ultrasound method for visualization of quantitative data on a surface model is provided. The ultrasound method acquires ultrasound information from an object. The information acquired defines ultrasound images along at least first and second scan planes through the object and is stored in a buffer memory. The method then constructs a surface model of the object based on the ultrasound information. Timing information associated with local areas on the object is determined. The surface model and timing information are displayed with the timing information being positioned proximate regions of the surface model corresponding to local areas on the object.

Abstract: An ultrasound system and method for calculation and display of tissue deformation parameters are disclosed. An ultrasound acquisition technique that allows a high frame rate in tissue velocity imaging or strain rate imaging is employed. With this acquisition technique the same ultrasound pulses are used for the tissue image and the Doppler based image. A sliding window technique is used for processing. The tissue deformation parameter strain is also determined by an accumulation of strain rate estimates for consecutive frames over an interval. The interval may be a triggered interval generated by, for example, an R-wave in an ECG trace. The strain calculation may be improved by moving the sample volume from which the strain rate is accumulated from frame-to-frame according to the relative displacement of the tissue within the original sample volume. The relative displacement of the tissue is determined by the instantaneous tissue velocity of the sample volume.

Abstract: System and method for automatically measuring the delay of tissue motion and deformation. For example, asynchrony may be measured between the left and right ventricles and within the left ventricle. A measurement feature may be defined by default or obtained using a user input. A reference time and a search interval are identified. The search interval may be based on the reference time, or input or modified by a user. A time delay of the measurement feature within the search interval is calculated for each sample. At least one color is assigned to the samples corresponding to the calculated time delay.

Abstract: A medical imaging system includes image acquisition circuitry, a memory, and a processor coupled to the image acquisition circuitry and memory. The processor executes a physiologic marker program out of the memory. The marker program obtains physiologic marker definitions for events shown in a first dataset image, determines physiologic markers associated with the marker definitions, and superimposes the physiologic markers on a second dataset image that does not necessarily show the event.

Abstract: An ultrasound system and method for calculation and display of tissue deformation parameters are disclosed. The tissue deformation parameter strain is determined by an accumulation of strain rate estimates for consecutive frames over an interval. The interval may be a triggered interval generated by, for example, an R-wave in an ECG trace. Three quantitative tissue deformation parameters, such as tissue velocity, tissue velocity integrals, strain rate and/or strain, may be presented as functions of time and/or spatial position for applications such as stress echo. For example, strain rate or strain values for three different stress levels may be plotted together with respect to time over a cardiac cycle. Parameters which are derived from strain rate or strain velocity, such as peak systolic wall thickening percentage, may be plotted with respect to various stress levels.

Abstract: A method and apparatus is provided for generating and displaying filtered strain rate signals corresponding to tissue structure within a subject in response to complex Doppler signals generated by an ultrasound system. Various combinations of several processing techniques are employed including filtering out high strain rate signals due to reverberation and other sources of noise, complex autocorrelation, velocity signal estimation, real strain rate signal estimation, complex strain correlation signal estimation, complex signal averaging, and real signal averaging. Color strain rate imaging is provided using the techniques such that the color images have reduced noise and improved image quality.

Abstract: An ultrasound system and method for calculation and display of tissue deformation parameters are disclosed. A method to estimate a strain rate in any direction, not necessarily along the ultrasound beam, based on tissue velocity data from a small region of interest around a sample volume is disclosed. Quantitative tissue deformation parameters, such as tissue velocity, tissue velocity integrals, strain rate and/or strain, may be presented as functions of time and/or spatial position for applications such as stress echo. For example, strain rate or strain values for three different stress levels may be plotted together with respect to time over a cardiac cycle.

Abstract: An ultrasound system and method for calculation and display of tissue deformation parameters are disclosed. Tissue velocity may be estimated by filtering a received ultrasound signal at three center frequencies related to the second harmonic of the ultrasound signal, estimating a reference tissue velocity from the two signals filtered at the outside center frequencies and using the reference tissue velocity to choose a tissue velocity from tissue velocities estimated using the middle center frequency. Estimation of strain rate in any direction, not necessarily along the ultrasound beam, is disclosed. Quantitative tissue deformation parameters may be presented as functions of time and/or spatial position for applications such as stress echo. For example, strain rate or strain values for three different stress levels may be plotted together with respect to time over a cardiac cycle. Parameters derived from strain rate or strain velocity may be plotted with respect to various stress levels.

Abstract: Methods and apparatus are provided in a diagnostic ultrasound system for generating and displaying strain rate spectrums corresponding to the deformation of a tissue structure within a subject, designated by a sample gate, in response to Doppler signals generated by the ultrasound system. Various combinations of several processing techniques are employed including spectral estimation processing such as discrete Fourier transform (DFT) processing, circular convolution, signal scaling/normalization, and complex autocorrelation.

Abstract: A method and apparatus is provided for generating and displaying filtered strain rate signals corresponding to tissue structure within a subject in response to complex Doppler signals generated by an ultrasound system. Various combinations of several processing techniques are employed including filtering out high strain rate signals due to reverberation and other sources of noise, complex autocorrelation, velocity signal estimation, real strain rate signal estimation, complex strain correlation signal estimation, complex signal averaging, and real signal averaging. Color strain rate imaging is provided using the techniques such that the color images have reduced noise and improved image quality.

Abstract: An ultrasound system and method for calculation and display of tissue deformation parameters are disclosed. An ultrasound acquisition technique that allows a high frame rate in tissue velocity imaging or strain rate imaging is employed. With this acquisition technique the same ultrasound pulses are used for the tissue image and the Doppler based image. A sliding window technique is used for processing. The tissue deformation parameter strain is also determined by an accumulation of strain rate estimates for consecutive frames over an interval. The interval may be a triggered interval generated by, for example, an R-wave in an ECG trace. The strain calculation may be improved by moving the sample volume from which the strain rate is accumulated from frame-to-frame according to the relative displacement of the tissue within the original sample volume. The relative displacement of the tissue is determined by the instantaneous tissue velocity of the sample volume.

Abstract: An ultrasound system and method for calculation and display of tissue deformation parameters, such as tissue Doppler and strain rate imaging, are disclosed. An ultrasound acquisition technique that allows a high frame rate in tissue velocity imaging or strain rate imaging is employed. With this acquisition technique the same ultrasound pulses are used for the tissue image and the Doppler based image. The number of beams used in Doppler subframes are increased to allow tissue visualization based only on Doppler subframes. A sliding window technique is used for processing.

Abstract: An ultrasound system and method for calculation and display of tissue deformation parameters, such as tissue Doppler and strain rate imaging, are disclosed. An ultrasound acquisition technique that allows a high frame rate in tissue velocity imaging or strain rate imaging is employed. With this acquisition technique the same ultrasound pulses are used for the tissue image and the Doppler based image. The number of beams used in Doppler subframes are increased to allow tissue visualization based only on Doppler subframes. A sliding window technique is used for processing.

Abstract: An ultrasound system and method for calculation and display of tissue deformation parameters are disclosed. An ultrasound acquisition technique that allows a high frame rate in tissue velocity imaging or stain rate imaging is employed. The tissue deformation parameter strain is determined by an accumulation of stain rate estimates for consecutive frames over an interval. The interval may be a triggered interval generated by, for example, an R-wave in an ECG trace. The strain calculation may be improved by moving the sample volume from which the stain rate is accumulated from frame-to-frame according to the relative displacement of the tissue within the original sample volume. The relative displacement of the tissue is defined by the instantaneous tissue velocity of the sample volume. An estimation of strain rate based upon a spatial derivative of tissue velocity is improved by adaptively varying the spatial offset, dr. The spatial offset, dr, can be maximized to cover the entire tissue segment (e.g.

Abstract: An ultrasound system and method for calculation and display of strain velocity in real time is disclosed. Strain velocity may be determined from tissue velocity. Tissue velocity determined by measuring the pulse-to-pulse Doppler shift at range positions along an ultrasound beam and calculating tissue velocity based on the Doppler shift. The strain velocity is then calculated as a gradient of tissue velocity. Alternatively, linear regression methods may be used to calculate strain velocity from tissue velocity. Alternatively, strain velocity may be determined directly from the difference in Doppler shift between range positions. The result of the strain velocity determination may be displayed in a number of manners such as M-mode, color-coded video images or time-variation curves, and may be displayed in combination, or as a mixture, with a B-mode image. A reliability index may be calculated and used to modify the display of strain velocity information.